Machine Learning for Beginners

Machine Learning for Beginners, available at $29.99, with 38 lectures, 11 quizzes, and has 3 subscribers.

You will learn about Understand the basic concepts and techniques of machine learning Learn data preprocessing techniques, including data cleaning, feature selection, and normalization. Implement supervised learning algorithms, such as K-Nearest Neighbors, Decision Trees, and Linear Regression. Implement unsupervised learning algorithms, such as Clustering and Dimensionality Reduction. Evaluate and select the best model for a given dataset using model evaluation metrics and cross-validation techniques. Build and train neural networks using Keras and understand Convolutional and Recurrent Neural Networks. Deploy machine learning models in the cloud and understand real-world applications of machine learning. Implement a machine learning model to solve a real-world problem as part of a final project. This course is ideal for individuals who are My course on Introduction to Machine Learning for Beginners is designed for anyone who is interested in learning about the fundamentals of machine learning and applying it to real-world problems. or Students or professionals who are new to machine learning and looking to gain a solid foundation in the field. or Data analysts, business analysts, and other professionals who want to incorporate machine learning into their workflow. or Programmers who want to expand their skill set to include machine learning. or Entrepreneurs who want to build machine learning-based products or services. or Anyone with a strong interest in data science and machine learning, regardless of their background or level of experience. It is particularly useful for My course on Introduction to Machine Learning for Beginners is designed for anyone who is interested in learning about the fundamentals of machine learning and applying it to real-world problems. or Students or professionals who are new to machine learning and looking to gain a solid foundation in the field. or Data analysts, business analysts, and other professionals who want to incorporate machine learning into their workflow. or Programmers who want to expand their skill set to include machine learning. or Entrepreneurs who want to build machine learning-based products or services. or Anyone with a strong interest in data science and machine learning, regardless of their background or level of experience.

Enroll now: Machine Learning for Beginners

Summary

Title: Machine Learning for Beginners

Price: $29.99

Number of Lectures: 38

Number of Quizzes: 11

Number of Published Lectures: 38

Number of Published Quizzes: 11

Number of Curriculum Items: 50

Number of Published Curriculum Objects: 50

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

• Understand the basic concepts and techniques of machine learning
• Learn data preprocessing techniques, including data cleaning, feature selection, and normalization.
• Implement supervised learning algorithms, such as K-Nearest Neighbors, Decision Trees, and Linear Regression.
• Implement unsupervised learning algorithms, such as Clustering and Dimensionality Reduction.
• Evaluate and select the best model for a given dataset using model evaluation metrics and cross-validation techniques.
• Build and train neural networks using Keras and understand Convolutional and Recurrent Neural Networks.
• Deploy machine learning models in the cloud and understand real-world applications of machine learning.
• Implement a machine learning model to solve a real-world problem as part of a final project.

Who Should Attend

• My course on Introduction to Machine Learning for Beginners is designed for anyone who is interested in learning about the fundamentals of machine learning and applying it to real-world problems.
• Students or professionals who are new to machine learning and looking to gain a solid foundation in the field.
• Data analysts, business analysts, and other professionals who want to incorporate machine learning into their workflow.
• Programmers who want to expand their skill set to include machine learning.
• Entrepreneurs who want to build machine learning-based products or services.
• Anyone with a strong interest in data science and machine learning, regardless of their background or level of experience.

Target Audiences

• My course on Introduction to Machine Learning for Beginners is designed for anyone who is interested in learning about the fundamentals of machine learning and applying it to real-world problems.
• Students or professionals who are new to machine learning and looking to gain a solid foundation in the field.
• Data analysts, business analysts, and other professionals who want to incorporate machine learning into their workflow.
• Programmers who want to expand their skill set to include machine learning.
• Entrepreneurs who want to build machine learning-based products or services.
• Anyone with a strong interest in data science and machine learning, regardless of their background or level of experience.